Search Results for author: Yuqi Wang

Found 38 papers, 10 papers with code

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

no code implementations24 Dec 2024 Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang

World model-based searching and planning are widely recognized as a promising path toward human-level physical intelligence.

Trajectory Planning Video Generation

Domain-specific Guided Summarization for Mental Health Posts

no code implementations3 Nov 2024 Lu Qian, Yuqi Wang, Zimu Wang, Haiyang Zhang, Wei Wang, Ting Yu, Anh Nguyen

In domain-specific contexts, particularly mental health, abstractive summarization requires advanced techniques adept at handling specialized content to generate domain-relevant and faithful summaries.

Abstractive Text Summarization Decoder

FreeVS: Generative View Synthesis on Free Driving Trajectory

no code implementations23 Oct 2024 Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

Moreover, we propose two new challenging benchmarks tailored to driving scenes, which are novel camera synthesis and novel trajectory synthesis, emphasizing the freedom of viewpoints.

Image Generation Novel View Synthesis

Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter

no code implementations10 Oct 2024 Zeqiang Wang, Jiageng Wu, Yuqi Wang, Wei Wang, Jie Yang, Jon Johnson, Nishanth Sastry, Suparna De

Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'unconstrained' behavior of people interacting on these platforms.

Enhancing End-to-End Autonomous Driving with Latent World Model

1 code implementation12 Jun 2024 Yingyan Li, Lue Fan, JiaWei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan

Specifically, our framework \textbf{LAW} uses a LAtent World model to predict future latent features based on the predicted ego actions and the latent feature of the current frame.

Autonomous Driving

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images

no code implementations11 Jun 2024 Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

Automatic radiology report generation can significantly benefit the labor-intensive process of report writing by radiologists, especially for 3D radiographs like CT scans, which are crucial for broad clinical diagnostics yet underexplored compared to 2D radiographs.

Benchmarking

Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond

1 code implementation6 May 2024 Zheng Zhu, XiaoFeng Wang, Wangbo Zhao, Chen Min, Nianchen Deng, Min Dou, Yuqi Wang, Botian Shi, Kai Wang, Chi Zhang, Yang You, Zhaoxiang Zhang, Dawei Zhao, Liang Xiao, Jian Zhao, Jiwen Lu, Guan Huang

General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual environments to decision-making systems.

Autonomous Driving Decision Making +2

DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness

no code implementations14 Apr 2024 Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De

Safe and reliable natural language inference is critical for extracting insights from clinical trial reports but poses challenges due to biases in large pre-trained language models.

Data Augmentation Diversity +3

YAYI-UIE: A Chat-Enhanced Instruction Tuning Framework for Universal Information Extraction

1 code implementation24 Dec 2023 Xinglin Xiao, Yijie Wang, Nan Xu, Yuqi Wang, Hanxuan Yang, Minzheng Wang, Yin Luo, Lei Wang, Wenji Mao, Daniel Zeng

The difficulty of the information extraction task lies in dealing with the task-specific label schemas and heterogeneous data structures.

UIE

Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving

1 code implementation CVPR 2024 Yuqi Wang, JiaWei He, Lue Fan, Hongxin Li, Yuntao Chen, Zhaoxiang Zhang

In autonomous driving, predicting future events in advance and evaluating the foreseeable risks empowers autonomous vehicles to better plan their actions, enhancing safety and efficiency on the road.

Autonomous Driving

A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth

no code implementations28 Nov 2023 Yuqi Wang, Aarzu Gupta, David Carpenter, Trey Mullikin, Zachary J. Reitman, Scott Floyd, John Kirkpatrick, Joseph K. Salama, Paul W. Sperduto, Jian-Guo Liu, Mustafa R. Bashir, Kyle J. Lafata

We evaluated our method on multiple clinically-relevant endpoints, including time to intracranial progression (ICP), progression-free survival (PFS) after SRS, overall survival (OS), and time to ICP and/or death (ICPD), on a variety of both statistical and non-statistical models, including CoxPH, conditional survival forest (CSF), and neural multi-task linear regression (NMTLR).

Time-to-Event Prediction Uncertainty Quantification

Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding

no code implementations31 Oct 2023 Yuqi Wang, Zeqiang Wang, Wei Wang, Qi Chen, Kaizhu Huang, Anh Nguyen, Suparna De

In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making.

Decision Making Information Retrieval +2

Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis

no code implementations5 Oct 2023 Shunkai Shi, Yuqi Wang, Qihui Ye, Yanran Wang, Yiming Zhu, Muhammad Hassan, Aikaterini Melliou, Dongmei Yu

After a number of extensive experiments, the experimental results show that the proposed model achieves 99. 06% accuracy in the two-class classification task of tooth-marked tongue identification and 80. 02%.

Segmentation Semantic Segmentation

Transferable Adversarial Attack on Image Tampering Localization

no code implementations19 Sep 2023 Yuqi Wang, Gang Cao, Zijie Lou, Haochen Zhu

The black-box attack is achieved by relying on the transferability of such adversarial examples to different localizers.

Adversarial Attack

UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science

no code implementations18 Jul 2023 Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu

This research primarily centers on classification and regression tasks involving tabular data, and conducts rigorous experimental testing and analyses to validate the effectiveness of our methodology.

PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

1 code implementation CVPR 2024 Yuqi Wang, Yuntao Chen, Xingyu Liao, Lue Fan, Zhaoxiang Zhang

In this work, we address this limitation by studying camera-based 3D panoptic segmentation, aiming to achieve a unified occupancy representation for camera-only 3D scene understanding.

3D Panoptic Segmentation Autonomous Driving +6

Tracking Objects with 3D Representation from Videos

no code implementations8 Jun 2023 JiaWei He, Lue Fan, Yuqi Wang, Yuntao Chen, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang

In this paper, we rethink the data association in 2D MOT and utilize the 3D object representation to separate each object in the feature space.

Multiple Object Tracking Object +1

Weakly Supervised 3D Object Detection with Multi-Stage Generalization

no code implementations8 Jun 2023 JiaWei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

We devise the DoubleClustering algorithm to obtain object clusters from reconstructed scene-level points, and further enhance the model's detection capabilities by developing three stages of generalization: progressing from complete to partial, static to dynamic, and close to distant.

3D Reconstruction Monocular 3D Object Detection +3

Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation

no code implementations9 May 2023 Yuqi Wang, Jacob A. Macdonald, Katelyn R. Morgan, Danielle Hom, Sarah Cubberley, Kassi Sollace, Nicole Casasanto, Islam H. Zaki, Kyle J. Lafata, Mustafa R. Bashir

Spleen volumetry is primarily associated with patients suffering from chronic liver disease and portal hypertension, as they often have spleens with abnormal shapes and sizes.

Segmentation

Hyperuniform disordered parametric loudspeaker array

no code implementations3 Jan 2023 Kun Tang, Yuqi Wang, Shaobo Wang, Da Gao, Haojie Li, Xindong Liang, Patrick Sebbah, Yibin Li, Jin Zhang, Junhui Shi

A steerable parametric loudspeaker array is known for its directivity and narrow beam width.

4D Unsupervised Object Discovery

1 code implementation10 Oct 2022 Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang

In this paper, we propose 4D unsupervised object discovery, jointly discovering objects from 4D data -- 3D point clouds and 2D RGB images with temporal information.

3D Instance Segmentation Object +4

A Robust Ensemble Model for Patasitic Egg Detection and Classification

no code implementations4 Jul 2022 Yuqi Wang, Zhiqiang He, Shenghui Huang, Huabin Du

Intestinal parasitic infections, as a leading causes of morbidity worldwide, still lacks time-saving, high-sensitivity and user-friendly examination method.

Classification Data Augmentation +1

Hessian-Free Second-Order Adversarial Examples for Adversarial Learning

no code implementations4 Jul 2022 Yaguan Qian, Yuqi Wang, Bin Wang, Zhaoquan Gu, Yuhan Guo, Wassim Swaileh

Extensive experiments conducted on the MINIST and CIFAR-10 datasets show that our adversarial learning with second-order adversarial examples outperforms other fisrt-order methods, which can improve the model robustness against a wide range of attacks.

Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networks

no code implementations14 Jan 2022 Yuqi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Zhaoxiang Zhang

Moreover, through experiments we show that discrete language representation has several advantages compared with continuous feature representation, from the aspects of interpretability, generalization, and robustness.

RNAS: Robust Network Architecture Search beyond DARTS

no code implementations29 Sep 2021 Yaguan Qian, Shenghui Huang, Yuqi Wang, Simin Li

The vulnerability of Deep Neural Networks (DNNs) (i. e., susceptibility to adversarial attacks) severely limits the application of DNNs.

Validate and Enable Machine Learning in Industrial AI

no code implementations30 Oct 2020 Hongbo Zou, Guangjing Chen, Pengtao Xie, Sean Chen, Yongtian He, Hochih Huang, Zheng Nie, Hongbao Zhang, Tristan Bala, Kazi Tulip, Yuqi Wang, Shenlin Qin, Eric P. Xing

However, manufacturers and solution partners need to understand how to implement and integrate an AI model into the existing industrial control system.

BIG-bench Machine Learning

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